{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "27262948",
   "metadata": {},
   "source": [
    "# 🌀 Exercício 1 — Problema das Espirais\n",
    "\n",
    "Considere o problema das espirais. Sendo a espiral 1 uma classe e a espiral 2 outra classe, gere os dados usando as seguintes equações:\n",
    "\n",
    "* Para espiral 1:\n",
    "\n",
    "$$\n",
    "x = \\frac{\\theta}{4} \\cos(\\theta), \\quad y = \\frac{\\theta}{4} \\sin(\\theta), \\quad \\theta \\geq 0\n",
    "$$\n",
    "\n",
    "* Para espiral 2:\n",
    "\n",
    "$$\n",
    "x = \\left(\\frac{\\theta}{4} + 0.8\\right) \\cos(\\theta), \\quad y = \\left(\\frac{\\theta}{4} + 0.8\\right) \\sin(\\theta), \\quad \\theta \\geq 0\n",
    "$$\n",
    "\n",
    "Considere $\\theta$ assumindo **1000 valores igualmente espaçados** entre 0 e 20 radianos.\n",
    "\n",
    "---\n",
    "\n",
    "## 🔍 Objetivo:\n",
    "\n",
    "Solucione este problema de classificação considerando:\n",
    "\n",
    "**a)** Uma **Máquina de Vetor de Suporte (SVM)**\n",
    "\n",
    "**b)** Um **comitê de máquinas**, formado por:\n",
    "\n",
    "* Uma **rede Perceptron de uma camada oculta**\n",
    "* Uma **RBF**\n",
    "* Uma **SVM**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae885cfd",
   "metadata": {},
   "source": [
    "## a) Uma Máquina de Vetor de Suporte (SVM)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ec412ad2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split , GridSearchCV\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "from sklearn.gaussian_process.kernels import RBF\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.ensemble import VotingClassifier\n",
    "from sklearn.metrics import classification_report, ConfusionMatrixDisplay\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.base import BaseEstimator, ClassifierMixin\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "from scipy.special import softmax\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6b23f009",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Definir o intervalo de theta\n",
    "theta = np.linspace(0, 20, 1000)\n",
    "\n",
    "# Espiral 1\n",
    "x1 = (theta / 4) * np.cos(theta)\n",
    "y1 = (theta / 4) * np.sin(theta)\n",
    "labels1 = np.zeros_like(theta)\n",
    "\n",
    "# Espiral 2\n",
    "x2 = ((theta / 4) + 0.8) * np.cos(theta)\n",
    "y2 = ((theta / 4) + 0.8) * np.sin(theta)\n",
    "labels2 = np.ones_like(theta)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cc39d87b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Concatenar os dados\n",
    "X = np.vstack((np.column_stack((x1, y1)), np.column_stack((x2, y2))))\n",
    "y = np.concatenate((labels1, labels2))\n",
    "\n",
    "# Criar um DataFrame\n",
    "spiral_data = pd.DataFrame(X, columns=[\"x\", \"y\"])\n",
    "spiral_data[\"label\"] = y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bb8b7393",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotar as espirais\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.scatter(x1, y1, c='blue', label='Classe 0 - Espiral 1', s=10)\n",
    "plt.scatter(x2, y2, c='red', label='Classe 1 - Espiral 2', s=10)\n",
    "plt.title(\"Problema das Espirais - Conjunto de Dados\")\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"y\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.axis(\"equal\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "86393992",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Separar features e rótulos\n",
    "X_data = spiral_data[[\"x\", \"y\"]].values\n",
    "y_data = spiral_data[\"label\"].values\n",
    "\n",
    "# Dividir em treino e teste\n",
    "X_train, X_test, y_train, y_test = train_test_split(X_data, y_data, test_size=0.3, random_state=42, stratify=y_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dc95f935",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "plt.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap='bwr', label='Treino', s=10, alpha=0.7)\n",
    "plt.scatter(X_test[:, 0], X_test[:, 1], c=y_test, cmap='bwr', marker='x', label='Teste', s=30)\n",
    "plt.title(\"Dados de Treino e Teste - Espirais\")\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"y\")\n",
    "plt.legend([\"Treino\", \"Teste\"])\n",
    "plt.grid(True)\n",
    "plt.axis(\"equal\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "711f980d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Criar e treinar o modelo SVM com kernel RBF\n",
    "svm_model = make_pipeline(\n",
    "    StandardScaler(),\n",
    "    SVC(kernel='rbf', C=300, gamma='auto', probability=True, random_state=42)\n",
    ", memory=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "953ffd86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: #000;\n",
       "  --sklearn-color-text-muted: #666;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: flex;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "  align-items: start;\n",
       "  justify-content: space-between;\n",
       "  gap: 0.5em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
       "  font-size: 0.6rem;\n",
       "  font-weight: lighter;\n",
       "  color: var(--sklearn-color-text-muted);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 0.5em;\n",
       "  text-align: center;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;standardscaler&#x27;, StandardScaler()),\n",
       "                (&#x27;svc&#x27;,\n",
       "                 SVC(C=300, gamma=&#x27;auto&#x27;, probability=True, random_state=42))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>Pipeline</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>Pipeline(steps=[(&#x27;standardscaler&#x27;, StandardScaler()),\n",
       "                (&#x27;svc&#x27;,\n",
       "                 SVC(C=300, gamma=&#x27;auto&#x27;, probability=True, random_state=42))])</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content fitted\"><pre>StandardScaler()</pre></div> </div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>SVC</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.svm.SVC.html\">?<span>Documentation for SVC</span></a></div></label><div class=\"sk-toggleable__content fitted\"><pre>SVC(C=300, gamma=&#x27;auto&#x27;, probability=True, random_state=42)</pre></div> </div></div></div></div></div></div>"
      ],
      "text/plain": [
       "Pipeline(steps=[('standardscaler', StandardScaler()),\n",
       "                ('svc',\n",
       "                 SVC(C=300, gamma='auto', probability=True, random_state=42))])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "svm_model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "99a18fb1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Previsão e avaliação\n",
    "y_pred_svm_rbf = svm_model.predict(X_test)\n",
    "report_svm_rbf = classification_report(y_test, y_pred_svm_rbf, output_dict=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "64d594ed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Relatório de Classificação - SVM com Kernel RBF\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1-score</th>\n",
       "      <th>support</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>0.90</td>\n",
       "      <td>0.64</td>\n",
       "      <td>0.75</td>\n",
       "      <td>300.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>0.72</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.81</td>\n",
       "      <td>300.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accuracy</th>\n",
       "      <td>0.78</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>macro avg</th>\n",
       "      <td>0.81</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.78</td>\n",
       "      <td>600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weighted avg</th>\n",
       "      <td>0.81</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.78</td>\n",
       "      <td>600.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              precision  recall  f1-score  support\n",
       "0.0                0.90    0.64      0.75   300.00\n",
       "1.0                0.72    0.93      0.81   300.00\n",
       "accuracy           0.78    0.78      0.78     0.78\n",
       "macro avg          0.81    0.78      0.78   600.00\n",
       "weighted avg       0.81    0.78      0.78   600.00"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Exibir relatório\n",
    "pd_svm_rbf = pd.DataFrame(report_svm_rbf).transpose()\n",
    "pd_svm_rbf = pd_svm_rbf.round(2)\n",
    "print(\"Relatório de Classificação - SVM com Kernel RBF\")\n",
    "pd_svm_rbf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8f2a8e07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Matriz de confusão\n",
    "ConfusionMatrixDisplay.from_predictions(y_test, y_pred_svm_rbf, cmap='Blues')\n",
    "plt.title(\"Matriz de Confusão - SVM (RBF Kernel, C=300, gamma='auto')\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "6a5f9096",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Separar pontos corretamente e incorretamente classificados\n",
    "correct_idx = np.where(y_test == y_pred_svm_rbf)[0]\n",
    "incorrect_idx = np.where(y_test != y_pred_svm_rbf)[0]\n",
    "\n",
    "# Plot\n",
    "plt.figure(figsize=(8, 6))\n",
    "\n",
    "# Treino (sem alterações)\n",
    "plt.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap='bwr', s=10, alpha=0.5, label='Treino')\n",
    "\n",
    "# Teste - Acertos\n",
    "plt.scatter(X_test[correct_idx, 0], X_test[correct_idx, 1], \n",
    "            c=y_test[correct_idx], cmap='bwr', marker='o', s=30, edgecolors='k', label='Acertos')\n",
    "\n",
    "# Teste - Erros\n",
    "plt.scatter(X_test[incorrect_idx, 0], X_test[incorrect_idx, 1], \n",
    "            c=y_test[incorrect_idx], cmap='bwr', marker='x', s=50, linewidths=1.5, label='Erros')\n",
    "\n",
    "plt.title(\"Classificação nas Espirais - Acertos e Erros\")\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"y\")\n",
    "plt.grid(False)\n",
    "plt.axis(\"equal\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77d4fd62",
   "metadata": {},
   "source": [
    "###  **Comitê de máquinas**, formado por MPL + RBF + SVM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "25ae75f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "svm_model = make_pipeline(\n",
    "    StandardScaler(),\n",
    "    SVC(kernel='rbf', C=300, gamma='auto', probability=True, random_state=42)\n",
    ", memory=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "75c1d28d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Criar a MLP com uma camada oculta de 10 neurônios\n",
    "mlp_model = make_pipeline(\n",
    "    StandardScaler(),\n",
    "    MLPClassifier(hidden_layer_sizes=(10,), max_iter=1000, random_state=42)\n",
    ", memory=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5c5b730e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.base import BaseEstimator, ClassifierMixin\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "from scipy.special import softmax\n",
    "import numpy as np\n",
    "\n",
    "class RBFNetwork(BaseEstimator, ClassifierMixin):\n",
    "    def __init__(self, n_centers=10, gamma=1.0, random_state=42):\n",
    "        self.n_centers = n_centers\n",
    "        self.gamma = gamma\n",
    "        self.random_state = random_state\n",
    "\n",
    "    def fit(self, X, y):\n",
    "        self.classes_ = np.unique(y)  # Agora 100% compatível\n",
    "        self.encoder_ = OneHotEncoder(sparse_output=False)\n",
    "        Y_onehot = self.encoder_.fit_transform(y.reshape(-1, 1))\n",
    "\n",
    "        kmeans = KMeans(n_clusters=self.n_centers, random_state=self.random_state)\n",
    "        self.centers_ = kmeans.fit(X).cluster_centers_\n",
    "\n",
    "        Phi = self._rbf_activation(X)\n",
    "        self.output_weights_ = np.linalg.pinv(Phi) @ Y_onehot\n",
    "\n",
    "        return self\n",
    "\n",
    "    def _rbf_activation(self, X):\n",
    "        return np.exp(-self.gamma * np.linalg.norm(X[:, np.newaxis, :] - self.centers_, axis=2) ** 2)\n",
    "\n",
    "    def predict_proba(self, X):\n",
    "        Phi = self._rbf_activation(X)\n",
    "        output = Phi @ self.output_weights_\n",
    "        return softmax(output, axis=1)\n",
    "\n",
    "    def predict(self, X):\n",
    "        proba = self.predict_proba(X)\n",
    "        return self.classes_[np.argmax(proba, axis=1)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "855496b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "rbf_model = RBFNetwork(n_centers=10, gamma=1.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "5ee25c13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: #000;\n",
       "  --sklearn-color-text-muted: #666;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-2 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-2 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-2 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: flex;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "  align-items: start;\n",
       "  justify-content: space-between;\n",
       "  gap: 0.5em;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 label.sk-toggleable__label .caption {\n",
       "  font-size: 0.6rem;\n",
       "  font-weight: lighter;\n",
       "  color: var(--sklearn-color-text-muted);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-2 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-2 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-2 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-2 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 0.5em;\n",
       "  text-align: center;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-2 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RBFNetwork(gamma=1.5)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>RBFNetwork</div></div><div><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>RBFNetwork(gamma=1.5)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "RBFNetwork(gamma=1.5)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. Treine separadamente cada modelo\n",
    "mlp_model.fit(X_train, y_train)\n",
    "svm_model.fit(X_train, y_train)\n",
    "rbf_model.fit(X_train, y_train)  # sem pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "90580902",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2. Pegue as probabilidades preditas para o conjunto de teste\n",
    "proba_mlp = mlp_model.predict_proba(X_test)\n",
    "proba_svm = svm_model.predict_proba(X_test)\n",
    "proba_rbf = rbf_model.predict_proba(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "5c327a65",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3. Combine as probabilidades (votação soft - média simples)\n",
    "avg_proba = (proba_mlp + proba_svm + proba_rbf) / 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "147915d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 4. Pegue a classe com maior probabilidade média\n",
    "y_pred_manual_committee = np.argmax(avg_proba, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9e2076f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 5. Avalie o desempenho\n",
    "from sklearn.metrics import classification_report, ConfusionMatrixDisplay\n",
    "\n",
    "ConfusionMatrixDisplay.from_predictions(y_test, y_pred_manual_committee, cmap=\"YlGnBu\")\n",
    "plt.title(\"Matriz de Confusão - Comitê Manual (MLP + RBF + SVM)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "167224a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Relatório de Classificação - Comitê Manual (MLP + RBF + SVM)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>f1-score</th>\n",
       "      <th>support</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>0.77</td>\n",
       "      <td>0.64</td>\n",
       "      <td>0.70</td>\n",
       "      <td>300.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>0.69</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.75</td>\n",
       "      <td>300.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accuracy</th>\n",
       "      <td>0.72</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>macro avg</th>\n",
       "      <td>0.73</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.72</td>\n",
       "      <td>600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weighted avg</th>\n",
       "      <td>0.73</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.72</td>\n",
       "      <td>600.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              precision  recall  f1-score  support\n",
       "0.0                0.77    0.64      0.70   300.00\n",
       "1.0                0.69    0.81      0.75   300.00\n",
       "accuracy           0.72    0.72      0.72     0.72\n",
       "macro avg          0.73    0.72      0.72   600.00\n",
       "weighted avg       0.73    0.72      0.72   600.00"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "report_manual_committee = classification_report(y_test, y_pred_manual_committee, output_dict=True)\n",
    "pd_manual_committee = pd.DataFrame(report_manual_committee).transpose()\n",
    "pd_manual_committee = pd_manual_committee.round(2)\n",
    "print(\"Relatório de Classificação - Comitê Manual (MLP + RBF + SVM)\")\n",
    "pd_manual_committee"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b4d0b060",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotar matrizes de confusão\n",
    "fig, axs = plt.subplots(1, 2, figsize=(12, 5))\n",
    "ConfusionMatrixDisplay.from_predictions(y_test, y_pred_svm_rbf, ax=axs[0], cmap=\"Blues\")\n",
    "axs[0].set_title(\"Matriz de Confusão - SVM\")\n",
    "\n",
    "ConfusionMatrixDisplay.from_predictions(y_test, y_pred_manual_committee, ax=axs[1], cmap=\"Greens\")\n",
    "axs[1].set_title(\"Matriz de Confusão - Comitê (MLP + RBF + SVM)\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "efffaca5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Separar pontos corretamente e incorretamente classificados\n",
    "correct_idx = np.where(y_test == y_pred_manual_committee)[0]\n",
    "incorrect_idx = np.where(y_test != y_pred_manual_committee)[0]\n",
    "\n",
    "# Plot\n",
    "plt.figure(figsize=(8, 6))\n",
    "\n",
    "# Treino (sem alterações)\n",
    "plt.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap='bwr', s=10, alpha=0.5, label='Treino')\n",
    "\n",
    "# Teste - Acertos\n",
    "plt.scatter(X_test[correct_idx, 0], X_test[correct_idx, 1], \n",
    "            c=y_test[correct_idx], cmap='bwr', marker='o', s=30, edgecolors='k', label='Acertos')\n",
    "\n",
    "# Teste - Erros\n",
    "plt.scatter(X_test[incorrect_idx, 0], X_test[incorrect_idx, 1], \n",
    "            c=y_test[incorrect_idx], cmap='bwr', marker='x', s=50, linewidths=1.5, label='Erros')\n",
    "\n",
    "plt.title(\"Classificação nas Espirais - Acertos e Erros\")\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"y\")\n",
    "plt.grid(False)\n",
    "plt.axis(\"equal\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
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